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398 Results

Limiting Sender’s Information in Bayesian Persuasion

Staff working paper 2019-10 Shota Ichihashi
This paper studies how the outcome of Bayesian persuasion depends on a sender’s information. I study a game in which, prior to the sender’s information disclosure, the designer can restrict the most informative signal that the sender can generate.

Inflation Targeting and Liquidity Traps Under Endogenous Credibility

Staff working paper 2019-9 Cars Hommes, Joep Lustenhouwer
Policy implications are derived for an inflation-targeting central bank, whose credibility is endogenous and depends on its past ability to achieve its targets. This is done in a New Keynesian framework with heterogeneous and boundedly rational expectations.

Liquidity Management of Canadian Corporate Bond Mutual Funds: A Machine Learning Approach

Staff analytical note 2019-7 Rohan Arora, Chen Fan, Guillaume Ouellet Leblanc
When redeeming shares for investors, bond fund managers must choose a mix of cash and bond sales to honour their commitments. This note uses machine learning algorithms to uncover new patterns in decisions fund managers make to meet redemptions.

Canada’s Monetary Policy Report: If Text Could Speak, What Would It Say?

Staff analytical note 2019-5 André Binette, Dmitri Tchebotarev
This note analyzes the evolution of the narrative in the Bank of Canada’s Monetary Policy Report (MPR). It presents descriptive statistics on the core text, including length, most frequently used words and readability level—the three Ls. Although each Governor of the Bank of Canada focuses on the macroeconomic events of the day and the mandate of inflation targeting, we observe that the language used in the MPR varies somewhat from one Governor’s tenure to the next.

The Distributional Effects of Conventional Monetary Policy and Quantitative Easing: Evidence from an Estimated DSGE Model

Staff working paper 2019-6 Stefan Hohberger, Romanos Priftis, Lukas Vogel
This paper compares the distributional effects of conventional monetary policy and quantitative easing (QE) within an estimated open-economy DSGE model of the euro area.

Corporate Debt Composition and Business Cycles

Staff working paper 2019-5 Jelena Zivanovic
Based on empirical evidence, I propose a dynamic stochastic general equilibrium model with two financial sectors to analyze the role of corporate debt composition (bank versus bond financing) in the transmission of economic shocks.

Limited Commitment, Endogenous Credibility and the Challenges of Price-level Targeting

Staff working paper 2018-61 Gino Cateau, Malik Shukayev
This paper studies the cost of limited commitment when a central bank has the discretion to adjust policy whenever the costs of honoring its past commitments become high. Specifically, we consider a central bank that seeks to implement optimal policy in a New Keynesian model by committing to a price-level target path.

Inference in Games Without Nash Equilibrium: An Application to Restaurants’ Competition in Opening Hours

Staff working paper 2018-60 Erhao Xie
This paper relaxes the Bayesian Nash equilibrium (BNE) assumption commonly imposed in empirical discrete choice games with incomplete information. Instead of assuming that players have unbiased/correct expectations, my model treats a player’s belief about the behavior of other players as an unrestricted unknown function. I study the joint identification of belief and payoff functions.

The Role of Corporate Saving over the Business Cycle: Shock Absorber or Amplifier?

Staff working paper 2018-59 Xiaodan Gao, Shaofeng Xu
We document countercyclical corporate saving behavior with the degree of countercyclicality varying nonmonotonically with firm size. We then develop a dynamic stochastic general equilibrium model with heterogeneous firms to explain the pattern and study its implications for business cycles.

2017 Methods-of-Payment Survey: Sample Calibration and Variance Estimation

Technical report No. 114 Heng Chen, Marie-Hélène Felt, Christopher Henry
This technical report describes sampling, weighting and variance estimation for the Bank of Canada’s 2017 Methods-of-Payment Survey. Under quota sampling, a raking ratio method is implemented to generate weights with both post-stratification and nonparametric nonresponse weight adjustments.
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